期刊


ISSN1524-1904
刊名Applied Stochastic Models in Business and Industry
参考译名商业与工业应用随机模型
收藏年代2002~2023

关联期刊参考译名收藏年代
Applied Stochastic Models in Business and Industry商业与工业应用随机模型2024~2026


全部

2002 2003 2004 2005 2006 2007
2008 2009 2010 2011 2012 2013
2014 2015 2016 2017 2018 2019
2020 2021 2022 2023

2020, vol.36, no.1 2020, vol.36, no.2 2020, vol.36, no.3 2020, vol.36, no.4 2020, vol.36, no.5 2020, vol.36, no.6

题名作者出版年年卷期
Discussion of “A review of data science in business and industry and a future view”Bailer A. John; Fisher Nicholas I.20202020, vol.36, no.1
Novelty detection based on learning entropyDohnal Gejza; Bukovsky Ivo20202020, vol.36, no.1
Clustering electricity consumers using high‐dimensional regression mixture modelsGoude Yannig; Poggi Jean‐Michel; Devijver Emilie20202020, vol.36, no.1
Deep learning for energy marketsPolson Michael; Sokolov Vadim20202020, vol.36, no.1
Copula‐based robust optimal block designsRappold A.; Müller W.G.; Woods D.C.20202020, vol.36, no.1
MCMC calibration of spot‐prices models in electricity marketsGuerini Alice; Marziali Andrea; De Nicolao Giuseppe20202020, vol.36, no.1
Foreword to Special IssueAntoch Jaromír; Dohnal Gejza20202020, vol.36, no.1
Thoughts on Data Science in business and industrySteinberg David M.; Aronovich Eddie20202020, vol.36, no.1
Rejoinder to the discussion of “A review of data science in business and industry and a future view by G. Vicario and S. Coleman”Vicario Grazia; Coleman Shirley20202020, vol.36, no.1
Discussion of “A review of data science in business and industry and a future view”Torelli Nicola20202020, vol.36, no.1
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